- author = "John M. Hall and Terence Soule",
- title = "Does Genetic Programming Inherently Adopt Structured Design Techniques?",
- booktitle = "Genetic Programming Theory and Practice {II}",
- year = "2004",
- editor = "Una-May O'Reilly and Tina Yu and Rick L. Riolo and Bill Worzel",
- chapter = "10",
- pages = "159--174",
- address = "Ann Arbor",
- month = "13-15 " # may,
- publisher = "Springer",
- keywords = "genetic algorithms, genetic programming, design, function choice, root node",
- ISBN = "0-387-23253-2",
-
URL = "
http://www.cs.uidaho.edu/~tsoule/research/doesDesign.ps",
-
DOI = "
doi:10.1007/0-387-23254-0_10",
- abstract = "Basic genetic programming (GP) techniques allow individuals to take advantage of some basic top-down design principles. In order to evaluate the effectiveness of these techniques, we define a design as an evolutionary frozen root node. We show that GP design converges quickly based primarily on the best individual in the initial random population. This leads to speculation of several mechanisms that could be used to allow basic GP techniques to better incorporate top-down design principles.",
-
notes = "part of \cite{oreilly:2004:GPTP2}
A version of Santa Fe trail artificial ant, 6-even parity (given XOR!), intertwined spirals, sin(x), Battleship
GP robust to forced choice of root node. Differences in means small compared to variation between runs. In population of 100 root node almost always converges.",
